How to Turn Any URL into Clean Markdown for AI Agents & Run Instant SEO Audits (WebPulse API)
If you are building AI agents, RAG (Retrieval-Augmented Generation) pipelines, or automated scraping workflows, you already know the painful truth: raw web HTML is an absolute token burner. Feeding a full raw webpage in
If you are building AI agents, RAG (Retrieval-Augmented Generation) pipelines, or automated scraping workflows, you already know the painful truth: raw web HTML is an absolute token burner.
Feeding a full raw webpage into GPT-4, Claude, or Gemini wastes up to 80% of your context window on navigation bars, cookie banners, tracking scripts, and inline SVGs.
To solve this, I built WebPulse AI & SEO Suite API: a lightweight, ultra-fast 5-in-1 web extraction API that converts noisy URLs into clean, token-optimized Markdown, extracts rich metadata, audits technical SEO, and discovers B2B contact info in milliseconds.
Here is how it works and how you can test it for free today.
⚡ 1. The Core Problem: LLM Token Bloat
When you fetch a typical blog post or documentation page:
- Raw HTML size: ~250 KB (approx. 60,000 tokens)
- Actual readable content: ~15 KB (approx. 3,500 tokens)
Sending raw HTML to your LLM costs real money, slows down responses, and degrades reasoning accuracy.
With the /api/v1/markdown endpoint, WebPulse strips away all boilerplate and returns:
- Pure GitHub-flavored Markdown.
- Formatted plain text.
- Pre-split semantic rag_chunks ready to embed into vector databases (Pinecone, Chroma, Supabase).
- An automated calculation of your exact token savings percentage (llm_token_savings_percent).
Quick Python Example:
import requests
url = "https://webpulse-ai-markdown-seo-audit-and-contacts.p.rapidapi.com/api/v1/markdown"
querystring = {"url": "https://stripe.com"}
headers = {
"x-rapidapi-key": "YOUR_RAPIDAPI_KEY",
"x-rapidapi-host": "webpulse-ai-markdown-seo-audit-and-contacts.p.rapidapi.com"
}
response = requests.get(url, headers=headers, params=querystring)
data = response.json()
print(f"Token savings: {data['data']['llm_token_savings_percent']}%")
print(f"Clean Markdown sample:\n{data['data']['markdown'][:300]}...")
🔍 2. Instant 25-Point Technical SEO Audit
Most SEO tools are heavy, expensive, or require full browser emulation.
The /api/v1/seo-audit endpoint runs a 25-checkpoint audit directly at the HTTP and DOM level in under 150ms:
- SEO Score (0–100) & Grade (A+ to F)
- Meta title, description, and canonical tag validation
- Heading structure hierarchy (H1 to H6 check)
- Missing image alt attributes count
- Internal vs external link balance
- Security & indexability verification (robots, HTTPS)
- Structured lists of critical_issues, warnings, and passed_checks
Perfect for agencies offering automated client onboarding reports or developers building automated website monitors.
💼 3. B2B Contact & Social Profile Discovery
Need to enrich company profiles automatically?
The /api/v1/contacts endpoint crawls the target page and detects:
- Corporate & support emails (categorized by role vs direct address)
- Phone numbers
- 10 major social networks: LinkedIn, X (Twitter), GitHub, YouTube, Instagram, Facebook, TikTok, Discord, Telegram, WhatsApp
- Key corporate pages: Pricing, Contact Us, About, Privacy Policy
🚀 4. How to Test It in 60 Seconds
You can test WebPulse immediately in two ways:
Interactive Web Playground (No login required):
Try live URLs directly in your browser:
👉 https://webpulseapi.vercel.appRapidAPI Marketplace (50 Free Requests / Month):
Subscribe to the Free Tier ($0/month) to get your API key:
👉 https://rapidapi.com/Juanamigazo/api/webpulse-ai-markdown-seo-audit-and-contacts
🛠️ Built for Developers, AI Builders & Automation Enthusiasts
Whether you are chaining nodes in n8n / Make / Zapier, fine-tuning local LLMs, or aggregating market intelligence, WebPulse is built to be fast, reliable, and cost-effective.
Feedback is deeply appreciated! What other endpoints or data extraction features would make your AI or scraping pipelines smoother? Drop a comment below!
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.